Security Monitoring

E-mail purportedly from human resources convinced more than one-fifth of recipients to click, the majority of whom did so within an hour of receiving the fraudulent message.

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Flashpoint plans to integrate Risk Based Security data and technology into its platform to boost threat intelligence and vulnerability management.

NG-SIEM is emerging as a cloud- and analytics-driven alternative to legacy SIEMs. Based on new research, Omdia highlights five important new insights for anyone considering a NG-SIEM purchase.

Our digital interactions are being analyzed, predicted, and protected by algorithms and serve as a strategic, digital arsenal in defending against cyberattacks.

Google says the deal will bring security orchestration, automation, and response to its Google Cloud security portfolio and expand its Chronicle platform.

Most companies lack the proper tools to assess their vulnerability to threats facing their AI systems and ML pipelines, prompting Microsoft to release a risk assessment framework.

Security professionals are burning out from handling too many tools and facing a growing number of threats, and more than 40% see lack of leadership as the main problem.

LogFlow addresses data risks associated with machine data pipelines.

Carbon Black’s new managed detection and response solution monitors endpoints and workloads, freeing up security teams to understand the different types of attacks that might be heading their way.

Decisions in the UK and Australia, and lawsuits in the United States, could force facial-recognition providers to remove data from their machine-learning models.

The vast majority of cloud workload compromises stem from poor security configurations or compromised passwords, while cryptojacking is the common payload, research shows.

Crypto-mixer services are set to grow as ransomware and other cybercriminal enterprises increasingly lean into cryptocurrency, new research shows.

Zero-trust, SASE, and XDR have similar goals, but they differ in their approaches to protecting businesses and users.

The machine learning classifier from Adobe can determine whether system commands are malicious and classify them using a variety of tags useful for security analysts.